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Roel Leenhouts
Roel Leenhouts
PhD student, KU Leuven
Verified email at kuleuven.be
Title
Cited by
Cited by
Year
Flowsheet generation through hierarchical reinforcement learning and graph neural networks
L Stops, R Leenhouts, Q Gao, AM Schweidtmann
AIChE Journal 69 (1), e17938, 2023
18*2023
SolProp: predicting solid solubility of organic solutes for a wide range of conditions using machine learning and thermodynamics
R Leenhouts, N Morgan, Y Chung, WH Green, F Vermeire
6th Machine Learning and AI in Bio (Chemical) Engineering Conference, Date …, 2023
2023
Flowsheet Synthesis through Graph-Based Reinforcement Learning
R Leenhouts, L Stops, SM Shanbhag, Q Gao, A Schweidtmann
AIChE Annual Meeting, Location: Phoenix, 2022
2022
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Articles 1–3